Adaptable SEC‐SAXS data collection for higher quality structure analysis in solution
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- Stanford Synchrotron Radiation Lightsource SLAC National Accelerator Laboratory Menlo Park California USA
- Department of Biochemistry and Physiology University of Oklahoma Health Sciences Center Oklahoma City Oklahoma USA, Stephenson Cancer Center University of Oklahoma Health Sciences Center Oklahoma City Oklahoma USA, Laboratory of Biomolecular Structure and Function University of Oklahoma Health Sciences Center Oklahoma City Oklahoma USA
Abstract The two major challenges in synchrotron size‐exclusion chromatography coupled in‐line with small‐angle x‐ray scattering (SEC‐SAXS) experiments are the overlapping peaks in the elution profile and the fouling of radiation‐damaged materials on the walls of the sample cell. In recent years, many post‐experimental analyses techniques have been developed and applied to extract scattering profiles from these problematic SEC‐SAXS data. Here, we present three modes of data collection at the BioSAXS Beamline 4–2 of the Stanford Synchrotron Radiation Lightsource (SSRL BL4‐2). The first mode, the High‐Resolution mode, enables SEC‐SAXS data collection with excellent sample separation and virtually no additional peak broadening from the UHPLC UV detector to the x‐ray position by taking advantage of the low system dispersion of the UHPLC. The small bed volume of the analytical SEC column minimizes sample dilution in the column and facilitates data collection at higher sample concentrations with excellent sample economy equal to or even less than that of the conventional equilibrium SAXS method. Radiation damage problems during SEC‐SAXS data collection are evaded by additional cleaning of the sample cell after buffer data collection and avoidance of unnecessary exposures through the use of the x‐ray shutter control options, allowing sample data collection with a clean sample cell. Therefore, accurate background subtraction can be performed at a level equivalent to the conventional equilibrium SAXS method without requiring baseline correction, thereby leading to more reliable downstream structural analysis and quicker access to new science. The two other data collection modes, the High‐Throughput mode and the Co‐Flow mode, add agility to the planning and execution of experiments to efficiently achieve the user's scientific objectives at the SSRL BL4‐2.
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- DE‐AC02‐76SF00515
- OSTI ID:
- 2327033
- Journal Information:
- Protein Science, Journal Name: Protein Science Vol. 33 Journal Issue: 4; ISSN 0961-8368
- Publisher:
- Wiley Blackwell (John Wiley & Sons)Copyright Statement
- Country of Publication:
- United Kingdom
- Language:
- English
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